Using V-Lookup in Python to Identify Deleted Customers
In this tutorial, I’ll demonstrate how to merge two datasets, similar to the V-lookup functionality. We’ll examine a sample dataset to check for any invoices linked to customers who no longer exist in the customer table. This could potentially point to fraudulent activity.
For more details, visit: Audit with Python – Detecting Deleted Customers
If you have any questions, feel free to reach out!
One response
This sounds like a very useful analysis! Combining datasets to identify discrepancies, like invoices linked to deleted customers, can be critical for financial audits and detecting potential fraud.
Using Python for such tasks is great, as libraries like
pandasmake it straightforward to perform operations akin to Excel’s VLOOKUP, such as merging and joining datasets.If anyone has questions about the specific methods you’re using or how to handle edge cases, please feel free to ask! For instance, it might be interesting to discuss how to deal with missing data or how to optimize performance with larger datasets. Thanks for sharing this important approach!